A target-driven DNA-based molecular machine for rapid and homogeneous detection 
of arginine-vasopressin

Tan, Haocheng; Chen, Lu; Li, Xinyi; Li, Mengyuan; Zhao, Meiping

doi:10.1039/C9AN02060H

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

A target-driven DNA-based molecular machine for rapid and homogeneous detection of arginine-vasopressin

MPS-Authors

/persons/resource/persons229215

Chen, Lu
Markus Antonietti, Kolloidchemie, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Tan, H., Chen, L., Li, X., Li, M., & Zhao, M. (2020). A target-driven DNA-based molecular machine for rapid and homogeneous detection of arginine-vasopressin. Analyst, 145(3), 880-886. doi:10.1039/C9AN02060H.

Cite as: https://hdl.handle.net/21.11116/0000-0005-61B0-6

Abstract

Rapid detection of physiological changes of neuropeptides is of great importance as they are involved in a wide range of physiological processes and behaviors. Abnormalities in their expression level are correlated with various neurological diseases. However, current methods such as radioimmunoassay, enzyme-linked immunosorbent assays and liquid chromatography tandem mass spectrometry relied on cumbersome operation steps and could not rapidly provide the information of their concentration fluctuations. Thus motivated, we developed a target-driven DNA-based molecular machine that could be triggered only in the presence of a specific target neuropeptide. Using arginine-vasopressin (AVP) as a model neuropeptide, we integrated the DNA-based molecular machine with fluorescence signal transduction and amplification technology. The assay was rapid and homogeneous, which offered a linear range of 75–700 pM and a limit-of-detection as low as 75 pM. It holds great potential for further applications in real-time monitoring of the variations of the AVP level in biological samples.